library_name: pytorch
license: other
tags:
- backbone
- bu_auto
- android
pipeline_tag: image-classification
DLA-102-X: Optimized for Qualcomm Devices
dla is a machine learning model that can classify images from the Imagenet dataset. It is a architecture which can be used as backbone.
This is based on the implementation of DLA-102-X found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
For more device-specific assets and performance metrics, visit DLA-102-X on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for DLA-102-X on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.image_classification
Model Stats:
- Model checkpoint: Imagenet
- Input resolution: 224x224
- Number of parameters: 26.3M
- Model size (float): 100 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| DLA-102-X | ONNX | float | Snapdragon® X Elite | 2.941 ms | 54 - 54 MB | NPU |
| DLA-102-X | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.882 ms | 0 - 156 MB | NPU |
| DLA-102-X | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.64 ms | 0 - 58 MB | NPU |
| DLA-102-X | ONNX | float | Qualcomm® QCS9075 | 3.975 ms | 0 - 4 MB | NPU |
| DLA-102-X | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.565 ms | 0 - 107 MB | NPU |
| DLA-102-X | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.199 ms | 1 - 108 MB | NPU |
| DLA-102-X | ONNX | float | Snapdragon® X2 Elite | 1.322 ms | 54 - 54 MB | NPU |
| DLA-102-X | ONNX | w8a8 | Snapdragon® X Elite | 1.624 ms | 27 - 27 MB | NPU |
| DLA-102-X | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.016 ms | 0 - 149 MB | NPU |
| DLA-102-X | ONNX | w8a8 | Qualcomm® QCS6490 | 73.007 ms | 17 - 33 MB | CPU |
| DLA-102-X | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.404 ms | 0 - 33 MB | NPU |
| DLA-102-X | ONNX | w8a8 | Qualcomm® QCS9075 | 1.64 ms | 0 - 3 MB | NPU |
| DLA-102-X | ONNX | w8a8 | Qualcomm® QCM6690 | 40.666 ms | 14 - 25 MB | CPU |
| DLA-102-X | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.881 ms | 0 - 117 MB | NPU |
| DLA-102-X | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 38.594 ms | 16 - 27 MB | CPU |
| DLA-102-X | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.738 ms | 0 - 120 MB | NPU |
| DLA-102-X | ONNX | w8a8 | Snapdragon® X2 Elite | 0.731 ms | 28 - 28 MB | NPU |
| DLA-102-X | QNN_DLC | float | Snapdragon® X Elite | 3.147 ms | 1 - 1 MB | NPU |
| DLA-102-X | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.001 ms | 0 - 151 MB | NPU |
| DLA-102-X | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 14.356 ms | 1 - 102 MB | NPU |
| DLA-102-X | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.876 ms | 1 - 2 MB | NPU |
| DLA-102-X | QNN_DLC | float | Qualcomm® QCS9075 | 4.228 ms | 1 - 3 MB | NPU |
| DLA-102-X | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 4.483 ms | 0 - 125 MB | NPU |
| DLA-102-X | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.608 ms | 0 - 103 MB | NPU |
| DLA-102-X | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.232 ms | 0 - 105 MB | NPU |
| DLA-102-X | QNN_DLC | float | Snapdragon® X2 Elite | 1.687 ms | 1 - 1 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.595 ms | 0 - 0 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.93 ms | 0 - 131 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 3.984 ms | 0 - 2 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.269 ms | 0 - 103 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.358 ms | 0 - 2 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.584 ms | 2 - 4 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 10.622 ms | 0 - 230 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.871 ms | 0 - 131 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.795 ms | 0 - 104 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.722 ms | 0 - 101 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.659 ms | 0 - 107 MB | NPU |
| DLA-102-X | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.93 ms | 0 - 0 MB | NPU |
| DLA-102-X | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.985 ms | 0 - 214 MB | NPU |
| DLA-102-X | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 14.342 ms | 0 - 162 MB | NPU |
| DLA-102-X | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.765 ms | 0 - 2 MB | NPU |
| DLA-102-X | TFLITE | float | Qualcomm® QCS9075 | 4.257 ms | 0 - 57 MB | NPU |
| DLA-102-X | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 4.474 ms | 0 - 180 MB | NPU |
| DLA-102-X | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.586 ms | 0 - 165 MB | NPU |
| DLA-102-X | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.225 ms | 0 - 163 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.824 ms | 0 - 135 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Qualcomm® QCS6490 | 3.593 ms | 0 - 29 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.925 ms | 0 - 99 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.12 ms | 0 - 2 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.375 ms | 0 - 29 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Qualcomm® QCM6690 | 10.063 ms | 0 - 208 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.753 ms | 0 - 136 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.717 ms | 0 - 92 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.487 ms | 0 - 92 MB | NPU |
| DLA-102-X | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.59 ms | 0 - 102 MB | NPU |
License
- The license for the original implementation of DLA-102-X can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
